IT Data Science Engineer (6100)

SubCom•Newington, NH

2d•Onsite

About The Position

The Data Science Engineer bridges data engineering and data science by building the systems, tools, and infrastructure that allow organizations to extract insights and deploy advanced analytics. They design and maintain data pipelines, support scalable machine learning, and ensure that data scientists have reliable, high-quality data and platforms to work with. This position reports to the IT Infrastructure and Cloud Manager and is located in Newington, NH.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
5+ years of experience in SQL Server (database design, stored procedures, performance tuning).
3+ years of experience with .NET technologies (C#, ASP.NET, MVC, or .NET Core) and web application development.
Hands-on experience with Azure Data Services (Azure Data Lake, Synapse Analytics, Microsoft Fabric, or similar).
Hands-on experience with Azure Modern Application Development (DevOps, Azure App Service, Azure Web apps)
Experience refactoring legacy applications to Modern Web App standards
Expertise in data visualization tools, preferably Power BI, including dataset modeling and DAX expressions.
Strong understanding of data modeling, ETL frameworks, and data warehousing concepts.
Experience integrating applications and data using APIs, REST services, and JSON/XML formats.
Excellent analytical, problem-solving, and communication skills.

Responsibilities

Design and maintain scalable cloud data architectures leveraging SQL Server, Azure Data Lake, and Microsoft Fabric.
Develop, optimize, and manage the SQL Server database footprint, including schema design, performance tuning, indexing, and capacity planning.
Lead SQL Server modernization and cloud migration initiatives, transitioning on-prem databases to Azure SQL, Managed Instance, or IaaS environments.
Build and optimize end-to-end data pipelines and data models supporting analytics, reporting, and application workloads.
Develop and maintain Power BI semantic models, dashboards, and reports delivering trusted, actionable insights.
Implement security, identity, and access controls using Azure Active Directory (Entra ID), including RBAC and Power BI row-level security.
Build and integrate data-driven web applications using .NET / .NET Core and RESTful APIs.
Utilize Azure DevOps for source control, work item management, and CI/CD pipelines across data and application solutions.
Automate deployments and enforce DevOps best practices for analytics, data platforms, and application releases.
Collaborate with business and IT stakeholders to translate requirements into scalable, cloud-ready technical solutions.
Ensure data quality, performance, governance, security, and compliance across cloud and on-prem environments.
Apply AI and advanced analytics tools (Azure AI, Fabric AI, OpenAI, etc.) to enhance insights, automation, and decision-making.
Continuously evaluate and improve platform reliability, scalability, and cost efficiency.
Create documentation including system dependency maps, architecture diagrams, SOP's, and end user instructions for applications.